Mac Studio
Geekbench AI Score
3698
Single Precision Score
16602
Half Precision Score
16492
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:25 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1347
250.5 IPS |
|
|
Image Classification (HP)
|
100% |
6930
1.29 KIPS |
|
|
Image Classification (Q)
|
96% |
6614
1.24 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1524
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
9795
158.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
10462
169.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
11097
12.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
71325
83.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
67997
79.7 IPS |
|
|
Object Detection (SP)
|
100% |
1560
123.7 IPS |
|
|
Object Detection (HP)
|
99% |
8015
637.6 IPS |
|
|
Object Detection (Q)
|
91% |
7532
601.8 IPS |
|
|
Face Detection (SP)
|
100% |
3313
39.4 IPS |
|
|
Face Detection (HP)
|
100% |
16341
194.2 IPS |
|
|
Face Detection (Q)
|
100% |
15227
180.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
5852
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
52024
400.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
53555
418.5 IPS |
|
|
Style Transfer (SP)
|
100% |
21878
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
121234
155.8 IPS |
|
|
Style Transfer (Q)
|
96% |
116976
151.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4326
159.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26097
963.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28052
1.04 KIPS |
|
|
Text Classification (SP)
|
100% |
2294
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
4057
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
4031
5.41 KIPS |
|
|
Machine Translation (SP)
|
100% |
3205
55.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3758
64.7 IPS |
|
|
Machine Translation (Q)
|
98% |
3895
67.3 IPS |
